Hybrid Deep Learning Models for Smart Cities Data

Post date: Apr 24, 2020 7:31:7 AM

Asst. Prof. Dr. Reem Jafar Ismail at the department of computer science gave a seminar entitled “Hybrid Deep Learning Models for Smart Cities Data” on 23th April 2020 at 11:30 am. Hybrid deep learning models is defines as using more than one type of deep learning models for smart cities applications. Deep learning method that can analysis different data type in smart cities this is because data captured in smart cities could be 1D as text and numbers for example air data or 2D or 3D as images and videos. The seminar explains hybrid deep learning models in smart cities and gives an overview of researches using hybrid deep learning models for example human mobility, medical sensing, traffic congestion, etc. and their effects and benefits in developing smart cities applications.